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ORCIDCoRR, April 2023
- Alexander Razumovsky, Yakov Pikalov, Mikhail V. Saramud:
Determination of cutting positions of honeycomb blocks using computer vision. - Nick DiSanto:
Analyzing the Contextual Shortcomings of Artificial General Intelligence. - Mayukh Bagchi, Subhashis Das:
Disentangling Domain Ontologies. - Mani A:
Rough Randomness and its Application. - Ezana N. Beyenne:
Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry. - Adnan Qayyum, Muhammad Bilal, Muhammad Hadi, Pawel Capik, Massimo Caputo, Hunaid Vohra, Ala I. Al-Fuqaha, Junaid Qadir:
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses? - Giorgio Franceschelli, Mirco Musolesi:
On the Creativity of Large Language Models. - Siddarth Singh, Benjamin Rosman
:
The challenge of redundancy on multi-agent value factorisation. - Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li:
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. - Sébastien Brisard, Michael Bertin, Frédéric Legoll:
A variance reduction strategy for numerical random homogenization based on the equivalent inclusion method. - Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu:
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. - Moshe Eliasof, Eldad Haber, Eran Treister:
DRIP: Deep Regularizers for Inverse Problems. - Mischa Blaszczyk, Klaus Hackl:
A novel class of electro-mechanical metamaterials for stress reduction through electric fields. - Hongen Liu:
Video text tracking for dense and small text based on pp-yoloe-r and sort algorithm. - Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
Workflows Community Summit 2022: A Roadmap Revolution. - Pham Thai Hoang Tung, Nguyen Tan Viet, Ngo Tien Anh, Phan Duy Hung:
SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis. - Xinxin Zhang, Dike Li, Jianqin Zhu, Zhi Tao, Lu Qiu:
Rapid online solution of inverse heat transfer problem by ANN-based extended Kalman smoothing algorithm. - Chuangguan Ye, Hongyuan Zhu, Yongbin Liao, Yanggang Zhang, Tao Chen, Jiayuan Fan:
What Makes for Effective Few-shot Point Cloud Classification? - Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth:
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. - Mohamed-Amine Chadi, Hajar Mousannif:
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization. - Fan Deng, Xiaoming Tao, Pengxiang Wei, Shiyin Wei:
A robust deep learning-based damage identification approach for SHM considering missing data. - Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand:
Accelerating exploration and representation learning with offline pre-training. - Homa Esfahanizadeh, Adam Yala, Rafael G. L. D'Oliveira, Andrea J. D. Jaba, Victor Quach, Ken R. Duffy, Tommi S. Jaakkola, Vinod Vaikuntanathan, Manya Ghobadi, Regina Barzilay, Muriel Médard:
PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels. - Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung:
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. - Muhammad S. Battikh, Dillon Hammill, Matthew Cook, Artem Lenskiy:
kNN-Res: Residual Neural Network with kNN-Graph coherence for point cloud registration. - Alexander Munteanu, Simon Omlor, David P. Woodruff:
Almost Linear Constant-Factor Sketching for 𝓁1 and Logistic Regression. - Noah Stier, Baptiste Angles, Liang Yang, Yajie Yan, Alex Colburn, Ming Chuang:
LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses. - Khandaker Foysal Haque, Milin Zhang, Francesco Restuccia:
SiMWiSense: Simultaneous Multi-Subject Activity Classification Through Wi-Fi Signals. - Xiang Zhang, Taoyue Wang, Xiaotian Li, Huiyuan Yang, Lijun Yin:
Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding. - Harald Ruess, Natarajan Shankar:
Evidential Transactions with Cyberlogic. - Junyi Chai, Xiaoqian Wang:
To be Robust and to be Fair: Aligning Fairness with Robustness. - Robert Ferrando, Laurent Pagnier, Robert Mieth, Zhirui Liang, Yury Dvorkin, Daniel Bienstock, Michael Chertkov:
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. - Alessandro Russo, N. Sukumar:
Quantitative study of the stabilization parameter in the virtual element method. - K. Victor Sam Moses Babu, Pratyush Chakraborty, Mayukha Pal:
Identification of Forced Oscillation Sources in Wind Farms using E-SINDy. - Johannes Köhler, Ferdinand Geuss, Melanie N. Zeilinger:
On stochastic MPC formulations with closed-loop guarantees: Analysis and a unifying framework. - Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner:
A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ Practitioners. - Abhinav Kumar, Miguel A. Guirao Aguilera, Reza Tourani, Satyajayant Misra:
Fides: A Generative Framework for Result Validation of Outsourced Machine Learning Workloads via TEE. - Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal:
DynamoPMU: A Physics Informed Anomaly Detection and Prediction Methodology using non-linear dynamics from μPMU Measurement Data. - Melanie Kircheis, Daniel Potts:
Optimal density compensation factors for the reconstruction of the Fourier transform of bandlimited functions. - Daniele Boffi, Ramon Codina, Önder Türk:
Finite element formulations for Maxwell's eigenvalue problem using continuous Lagrangian interpolations. - Tao Li, Quanyan Zhu:
On the Price of Transparency: A Comparison between Overt Persuasion and Covert Signaling. - Zihao Liang, Wenjian Hao, Shaoshuai Mou:
A Data-Driven Approach for Inverse Optimal Control. - Ying-Jun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. - Yan Chen, James H. Holmes, Curtis Corum, Vincent Magnotta, Mathews Jacob:
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI. - James H. Adler, Xiaozhe Hu, Yuwen Li, Ludmil T. Zikatanov:
Parameter-free preconditioning for nearly-incompressible linear elasticity. - Aokun Chen, Daniel Paredes, Zehao Yu, Xiwei Lou, Roberta Brunson, Jamie N. Thomas, Kimberly A. Martinez, Robert J. Lucero, Tanja Magoc, Laurence M. Solberg, Urszula Alina Snigurska, Sarah E. Ser, Mattia Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir, Yonghui Wu:
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. - Daniel Campos, ChengXiang Zhai:
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval. - Aman Pathak, Zehao Yu, Daniel Paredes, Elio Paul Monsour, Andrea Ortiz Rocha, Juan P. Brito, Naykky Singh Ospina, Yonghui Wu:
Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods. - Mathias Kraus, Julia Anna Bingler, Markus Leippold, Tobias Schimanski, Chiara Colesanti Senni, Dominik Stammbach, Saeid Ashraf Vaghefi, Nicolas Webersinke:
Enhancing Large Language Models with Climate Resources. - Mehran Ghafarian Tamizi, Homayoun Honari, Aleksey Nozdryn-Plotnicki, Homayoun Najjaran:
End-to-end deep learning-based framework for path planning and collision checking: bin picking application. - Ryan Koo, Anna Martin, Linghe Wang, Dongyeop Kang:
Decoding the End-to-end Writing Trajectory in Scholarly Manuscripts. - Harish Karunakaran, Gopeshh Raaj Subbaraj:
Trajectory Control for Differential Drive Mobile Manipulators. - Sajad Meisami, Sadaf Meisami, Melina Yousefi, Mohammad Reza Aref:
Combining Blockchain and IOT for Decentralized Healthcare Data Management. - Doganalp Ergenç, Cornelia Brülhart, Mathias Fischer:
Towards Developing Resilient and Service-oriented Mission-critical Systems. - David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux:
Scalable and Privacy-Preserving Federated Principal Component Analysis. - Shubham Atreja, Shruthi Srinath, Mohit Jain, Joyojeet Pal:
Understanding Journalists' Workflows in News Curation. - Angelos Chatzimparmpas, Rafael Messias Martins, Alexandru C. Telea, Andreas Kerren:
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps. - Jiapeng Xu, Ying Tan, Xiang Chen:
Robust Tracking Control for Nonlinear Systems: Performance optimization via extremum seeking. - Artur P. Toshev, Ludger Paehler, Andrea Panizza, Nikolaus A. Adams:
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods. - Yijun Xu, Marcos Netto, Lamine Mili:
Propagating Parameter Uncertainty in Power System Nonlinear Dynamic Simulations Using a Koopman Operator-Based Surrogate Model. - Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams:
E(3) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics. - Liyan Chen, Weihan Wang, Philippos Mordohai:
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation. - Vincent Léon, S. Rasoul Etesami:
Online Reinforcement Learning in Markov Decision Process Using Linear Programming. - Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo:
Robotic Perception of Transparent Objects: A Review. - Duygu Nur Yaldiz, Tuo Zhang, Salman Avestimehr:
Secure Federated Learning against Model Poisoning Attacks via Client Filtering. - Shenghui Chen, Yue Yu, David Fridovich-Keil, Ufuk Topcu:
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning. - Wesley Hanwen Deng, Motahhare Eslami, Kenneth Holstein:
Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI. - Liangjie Chen, John W. Simpson-Porco:
Data-Driven Output Regulation using Single-Gain Tuning Regulators. - Rami Botros, Anmol Gulati, Tara N. Sainath, Krzysztof Choromanski, Ruoming Pang, Trevor Strohman, Weiran Wang, Jiahui Yu:
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. - Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays:
Lego-Features: Exporting modular encoder features for streaming and deliberation ASR. - Romain Lacombe, Hannah Grossman, Lucas Hendren, David Lüdeke:
Improving extreme weather events detection with light-weight neural networks. - Lhuqita Fazry, Asep Haryono, Nuzulul Khairu Nissa, Sunarno, Naufal Muhammad Hirzi, Muhammad Febrian Rachmadi, Wisnu Jatmiko:
Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. - Zihao Wang, Eugene Agichtein, Jinho D. Choi:
FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems. - Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah:
PrefGen: Preference Guided Image Generation with Relative Attributes. - Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen:
Subject-driven Text-to-Image Generation via Apprenticeship Learning. - Grégoire Sergeant-Perthuis, David Rudrauf, Dimitri Ognibene, Yvain Tisserand:
Action of the Euclidean versus Projective group on an agent's internal space in curiosity driven exploration: a formal analysis. - (Withdrawn) Leveraging Neo4j and deep learning for traffic congestion simulation & optimization.
- Lidan Xu, Hao Lu, Jianliang Wang, Xiang-Gui Guo, Lei Guo:
Sector Bounds for Vertical Cable Force Error in Cable-Suspended Load Transportation System. - Shuo Yang, George J. Pappas, Rahul Mangharam, Lars Lindemann:
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction. - Debdipta Goswami:
Sequential Learning from Noisy Data: Data-Assimilation Meets Echo-State Network. - Elisa Negrini, Levon Nurbekyan:
Applications of No-Collision Transportation Maps in Manifold Learning. - Rui Sun, Chen Wang, An-An Lu, Xiqi Gao, Xiang-Gen Xia:
Precoder Design with Matrix Manifold Optimization in Massive MIMO. - Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training with Prior-Guided Knowledge. - Sriram Radhakrishna, Adithya Balasubramanyam:
Pedestrian Intention Classifier using ID3 Modelled Decision Trees for IoT Edge Devices. - Hans Riess, Michael C. Munger, Michael M. Zavlanos:
Max-Plus Synchronization in Decentralized Trading Systems. - Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. - Botao Zhao, Mojtaba Esfandiari, David E. Usevitch, Peter Gehlbach, Iulian Iordachita:
Human-Robot Interaction in Retinal Surgery: A Comparative Study of Serial and Parallel Cooperative Robots. - Jiaang Li, Quan Wang, Zhendong Mao:
Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. - Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale Multi-instance Learning for Pathological Image Diagnosis. - Fenggang Liu, Yangguang Li, Feng Liang, Jilan Xu, Bin Huang, Jing Shao:
Mask Hierarchical Features For Self-Supervised Learning. - Chunyu Lei, C. L. Philip Chen, Jifeng Guo, Tong Zhang:
ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification. - Mang Tik Chiu, Xuaner Zhang, Zijun Wei, Yuqian Zhou, Eli Shechtman, Connelly Barnes, Zhe Lin, Florian Kainz, Sohrab Amirghodsi, Humphrey Shi:
Automatic High Resolution Wire Segmentation and Removal. - (Withdrawn) Fundamental Limits of Holographic MIMO Channels: Tackling Non-Separable Transceiver Correlation.
- Behnaz Hadi, Alireza Khosravi, Pouria Sarhadi:
Adaptive formation motion planning and control of autonomous underwater vehicles using deep reinforcement learning. - Daichi Saito, Eri Nagatomo, Jefferson Pardomuan, Hideki Koike:
Tracker: Model-based Reinforcement Learning for Tracking Control of Human Finger Attached with Thin McKibben Muscles. - Kai-Cheng Yang, Filippo Menczer:
Large language models can rate news outlet credibility. - Réda Alami, Mohammed Mahfoud, Eric Moulines:
Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes. - Junwei Liu, Zikai Ouyang, Jiahui Yang, Hua Chen, Haibo Lu, Wei Zhang:
Coordinated Defense Allocation in Reach-Avoid Scenarios with Efficient Online Optimization. - Suman Adhya, Debarshi Kumar Sanyal:
What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha. - Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. - (Withdrawn) GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking Loss.
- Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu:
Reusing Deep Neural Network Models through Model Re-engineering. - Takahiro Tsumura, Seiji Yamada:
Experimental Investigation of Robotic virtual agent's errors that are accepted by reaction and body color selection. - Yu Tang, Li Jin, Kaan Ozbay:
How Does Driver Non-compliance Destroy Traffic Routing Control? - Leila Ismail, Huned Materwala:
From Conception to Deployment: Intelligent Stroke Prediction Framework using Machine Learning and Performance Evaluation. - Hao Chen, Chen Gong, Yizhe Wang, Xinwen Hou:
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning. - Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang:
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. - Shuning Chang, Pichao Wang, Fan Wang, Jiashi Feng, Mike Zheng Shou:
DOAD: Decoupled One Stage Action Detection Network. - Jaydip Sen, Subhasis Dasgupta:
Data Privacy Preservation on the Internet of Things. - Teimour Hosseinalizadeh, Nima Monshizadeh:
Gaussian Mechanism Design for Prescribed Privacy Sets in Data Releasing Systems. - Weidong Wang, Jing Yang:
Variants of Bezout Subresultants for Several Univariate Polynomials. - Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin:
On the impact of regularization in data-driven predictive control. - Masayuki Tezuka, Keisuke Tanaka:
Pointcheval-Sanders Signature-Based Synchronized Aggregate Signature. - Imke Grabe, Jichen Zhu:
Hidden Layer Interaction: A Co-Creative Design Fiction for Generative Models. - Shuhao Qi, Zengjie Zhang, Sofie Haesaert, Zhiyong Sun:
Automated Formation Control Synthesis from Temporal Logic Specifications. - Bingxi Liu, Yujie Fu, Feng Lu, Jinqiang Cui, Yihong Wu, Hong Zhang:
NPR: Nocturnal Place Recognition in Streets. - Anders Mariegaard, Kim G. Larsen, Marco Muñiz, Thomas Dyhre Nielsen:
Energy Consumption Optimization in Radio Access Networks (ECO-RAN). - Jianhong Pan, Siyuan Yang, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Zhipeng Fan, Jun Liu:
Progressive Channel-Shrinking Network. - Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Sander Lars Jansen, Stephan Pachnicke:
Branch Identification in Passive Optical Networks using Machine Learning. - Tomer Ronen, Omer Levy, Avram Golbert:
Vision Transformers with Mixed-Resolution Tokenization. - Xi Li, Youcai Xu, Minfu Feng:
A Pressure-Stabilized Continuous Data Assimilation Reduced Order Model. - Sarwan Ali, Usama Sardar, Murray Patterson, Imdad Ullah Khan:
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences. - Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li:
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. - Zhongming Teng, Ren-Cang Li:
Variations of Orthonormal Basis Matrices of Subspaces. - Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui:
Predictive Heterogeneity: Measures and Applications. - Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu:
CapsFlow: Optical Flow Estimation with Capsule Networks. - Suchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra:
On the Feasibility and Robustness of Pointwise Evaluation of Query Performance Prediction. - Chaimae Taoussi, Imad Hafidi, Abdelmoutalib Metrane:
Medical Pathologies Prediction : Systematic Review and Proposed Approach. - Atherve Tekawade, Suman Banerjee:
Cost and Reliability Aware Scheduling of Workflows Across Multiple Clouds with Security Constraints. - Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou:
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability. - Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa:
SVT: Supertoken Video Transformer for Efficient Video Understanding. - Linquan Yu, Yan Gao, Yangtian Yan, Wentao Zeng:
Multi-view reconstruction of bullet time effect based on improved NSFF model. - Yifeng Ma, Suzhen Wang, Yu Ding, Bowen Ma, Tangjie Lv, Changjie Fan, Zhipeng Hu, Zhidong Deng, Xin Yu:
TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles. - Steffen Börm, Ralf Köhl, Nahid Talebi:
Computing Maxwell eigenmodes with Bloch boundary conditions. - Brian R. Bartoldson, Yeping Hu, Amar Saini, Jose Cadena, Yucheng Fu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen:
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics. - Gazi Zahirul Islam:
Improving the Performance of OFDMA-based Wi-Fi Network with Hybrid Medium Access Control Protocol Design. - Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas:
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. - Alessandro Zanardi, Pietro Zullo, Andrea Censi, Emilio Frazzoli:
Factorization of Multi-Agent Sampling-Based Motion Planning. - James Zhu, J. Joe Payne, Aaron M. Johnson:
Convergent iLQR for Safe Trajectory Planning and Control of Legged Robots. - James Zhu, Anoushka Shrivastava, Aaron M. Johnson:
Grounding Robot Navigation in Self-Defense Law. - Won Ik Cho, Yoon Kyung Lee, Seoyeon Bae, Jihwan Kim, Sangah Park, Moosung Kim, Sowon Hahn, Nam Soo Kim:
When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus. - Miguel Aguiar, Amritam Das, Karl Henrik Johansson:
Universal approximation of flows of control systems by recurrent neural networks. - Meltem Aksoy, Seda Yanik, Mehmet Fatih Amasyali:
Reviewer Assignment Problem: A Systematic Review of the Literature. - Chenyang Zhao, Zihao Zhou, Bin Liu:
On Context Distribution Shift in Task Representation Learning for Offline Meta RL. - Jun Zhao, Liangxin Qian, Wenhan Yu:
Human-Centric Resource Allocation in the Metaverse over Wireless Communications. - Steven Obua:
Logic is Algebra. - Yukang Cao, Kai Han, Kwan-Yee K. Wong:
SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction. - Miguel Cavadas, Pablo Gamallo:
Automatic Authorship Attribution in the Work of Tirso de Molina. - Peter Du, Katherine Rose Driggs-Campbell:
Adaptive Failure Search Using Critical States from Domain Experts. - Peter Du, Surya Murthy, Katherine Rose Driggs-Campbell:
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries. - Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet:
Physics-informed machine learning for moving load problems. - Michael Baddeley, Carlo Alberto Boano, Antonio Escobar-Molero, Ye Liu, Xiaoyuan Ma, Victor Marot, Usman Raza, Kay Römer, Markus Schuss, Aleksandar Stanoev:
Understanding Concurrent Transmissions: The Impact of Carrier Frequency Offset and RF Interference on Physical Layer Performance. - Jingxuan Zhu, Alvaro Velasquez, Ji Liu:
A Resilient Distributed Algorithm for Solving Linear Equations. - Jialin Li, Alia Waleed, Hanan Salam:
A Survey on Personalized Affective Computing in Human-Machine Interaction. - Xiou Ge, Yun-Cheng Wang, Bin Wang, C.-C. Jay Kuo:
Knowledge Graph Embedding with 3D Compound Geometric Transformations. - Wojciech Ozga, Patricia Sagmeister, Tamás Visegrády, Silvio Dragone:
Scalable Attestation of Virtualized Execution Environments in Hybrid- and Multi-Cloud. - Chunqiu Steven Xia, Lingming Zhang:
Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT. - Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. - Cosmas Heiß, Ingo Gühring, Martin Eigel:
Multilevel CNNs for Parametric PDEs. - Thomas Schlögl, Ulrich Schmid:
A Sufficient Condition for Gaining Belief in Byzantine Fault-Tolerant Distributed Systems. 487-506 - Lila Fontes, Sophie Laplante, Mathieu Laurière, Alexandre Nolin:
The communication complexity of functions with large outputs. - Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell:
A Large Scale Analysis of Semantic Versioning in NPM. - Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori:
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. - Tam N. Nguyen:
Managing Cold-start in The Serverless Cloud with Temporal Convolutional Networks. - Nishanth Venkatesh, Viet-Anh Le, Aditya Dave, Andreas A. Malikopoulos:
Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging. - El Mahdi Mouloua, Mustapha Najmeddine, María Isabel García-Planas, Hassan Ouazzou:
Monomial codes under linear algebra point of view. - Maximilian Weiherer, Bernhard Egger:
From Zero to Hero: Convincing with Extremely Complicated Math. - Young Geun Kim, Udit Gupta, Andrew McCrabb, Yonglak Son, Valeria Bertacco, David Brooks, Carole-Jean Wu:
GreenScale: Carbon-Aware Systems for Edge Computing. - Simon Diemert, Jens H. Weber:
Hazard Analysis for Self-Adaptive Systems Using System-Theoretic Process Analysis. - Yizheng Chen, Zhoujie Ding, Xinyun Chen, David A. Wagner:
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. - Naoki Yokoyama, Alexander William Clegg, Eric Undersander, Sehoon Ha, Dhruv Batra, Akshara Rai:
Adaptive Skill Coordination for Robotic Mobile Manipulation. - Tomoya Sasaki, Narin Okazaki, Takatoshi Yoshida, Alfonso Balandra, Zendai Kashino, Masahiko Inami:
SolefulTap: Augmenting Tap Dancing Experience using a Floor-Type Impact Display. - Jan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe, Lukas Gienapp, Harrisen Scells, Benno Stein, Matthias Hagen, Martin Potthast:
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives. - Wenju Xu, Chengjiang Long, Yongwei Nie:
Learning Dynamic Style Kernels for Artistic Style Transfer. - Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney:
Towards Healthy AI: Large Language Models Need Therapists Too. - Liliana Camargo, Sergio Rojas, Patrick Vega:
Minimum-residual a posteriori error estimates for a hybridizable discontinuous Galerkin discretization of the Helmholtz equation. - Gregory Schwartzman:
Mini-batch k-means terminates within O(d/ε) iterations. - Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. - Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
Progressive Random Convolutions for Single Domain Generalization. - Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian:
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. - Cory McCartan:
Finding Pareto Efficient Redistricting Plans with Short Bursts. - Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu:
Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. - Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin:
Multi-Agent Reachability Calibration with Conformal Prediction. - Haitian Liu, Ye Guo, Hao Liu, Hongbin Sun:
On Degeneracy Issues in Multi-parametric Programming and Critical Region Exploration based Distributed Optimization. - Yuwei Sun, Hideya Ochiai, Jun Sakuma:
Instance-level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space. - Jingcheng Lu, Eitan Tadmor:
Revisting high-resolution schemes with van-Albada slope limiter. - Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara:
SoftED: Metrics for Soft Evaluation of Time Series Event Detection. - Songjie Yang, Chenfei Xie, Wanting Lyu, Boyu Ning, Zhongpei Zhang, Chau Yuen:
Near-Field Channel Estimation for Extremely Large-Scale Reconfigurable Intelligent Surface (XL-RIS)-Aided Wideband mmWave Systems. - Chunli Jiang, Abdullah Nazir, Ghasem Abbasnejad, Jungwon Seo:
Dynamic Flex-and-Flip Manipulation of Deformable Linear Objects. - Sangmin Woo, So-Yeong Jeon, Jinyoung Park, Minji Son, Sumin Lee, Changick Kim:
Sketch-based Video Object Localization. - Avinab Saha, Sandeep Mishra, Alan C. Bovik:
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild. - Patrik Puchert, Poonam Poonam, Christian van Onzenoodt, Timo Ropinski:
LLMMaps - A Visual Metaphor for Stratified Evaluation of Large Language Models. - Chen Fan, Christos Thrampoulidis, Mark Schmidt:
Fast Convergence of Random Reshuffling under Over-Parameterization and the Polyak-Łojasiewicz Condition. - Yibo Yan, Seth Frey, Amy X. Zhang, Vladimir Filkov, Likang Yin:
GitHub OSS Governance File Dataset. - Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang:
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning. - Haiping Wang, Yuan Liu, Zhen Dong, Yulan Guo, Yu-Shen Liu, Wenping Wang, Bisheng Yang:
Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting. - Wonseong Kim:
Words that Wound: The Impact of Biased Language on News Sentiment and Stock Market Index. - Bo-Kyeong Kim, Jaemin Kang, Daeun Seo, Hancheol Park, Shinkook Choi, Hyoung-Kyu Song, Hyungshin Kim, Sungsu Lim:
A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation. - Mohammed Saeed, Nicola De Cao, Paolo Papotti:
Querying Large Language Models with SQL. - Mohammad Nadim, Wonjun Lee, David Akopian:
Kernel-level Rootkit Detection, Prevention and Behavior Profiling: A Taxonomy and Survey. - Simon Foucart, Chunyang Liao, Nate Veldt:
On the Optimal Recovery of Graph Signals. - Clémentine Helfenstein-Didier, Amira Dhouib, Florent Favre, Jonathan Pascal, Patrick Baert:
Exploring Crossmodal Interaction of Tactile and Visual Cues on Temperature Perception in Virtual Reality: a Preliminary Study. - Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. - Iva Bojic, Josef Halim, Verena Suharman, Sreeja Tar, Qi Chwen Ong, Duy Phung, Mathieu Ravaut, Shafiq Joty, Josip Car:
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets. - Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du:
Graph Mining for Cybersecurity: A Survey. - Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie:
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy. - Scott Pesme, Nicolas Flammarion:
Saddle-to-Saddle Dynamics in Diagonal Linear Networks. - Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Infinite-dimensional reservoir computing. - Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu:
Multimodal Hyperspectral Image Classification via Interconnected Fusion. - Yuki Noguchi, Takayuki Yamada:
Level set-based shape optimization of deformable structures for manipulating sound propagation. - Cheng Chen, Yueming Lyu, Ivor W. Tsang:
Adversary-Aware Partial label learning with Label distillation. - Roberto Amoroso, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara:
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images. - Juan R. Terven, Diana-Margarita Córdova-Esparza:
A Comprehensive Review of YOLO: From YOLOv1 to YOLOv8 and Beyond. - Aristotelis Ballas, Christos Diou:
CNNs with Multi-Level Attention for Domain Generalization. - Matej Smíd, Jindrich Duník:
Online Learning and Control for Data-Augmented Quadrotor Model. - Yang Shao, Hirokazu Atsumori, Tadayuki Matsumura, Kanako Esaki, Shunsuke Minusa, Hiroyuki Mizuno:
The impact of individual information exchange strategies on the distribution of social wealth. - Min Han, Jiangming Kan, Gongping Yang, Xinghui Li:
Robust Ellipsoid Fitting Using Axial Distance and Combination. - Halil Faruk Karagoz, Gulcin Baykal, Irem Arikan Eksi, Gözde B. Ünal:
Textile Pattern Generation Using Diffusion Models. - Samuel Albanie, Liliane Momeni, João F. Henriques:
Large Language Models are Few-shot Publication Scoopers. - Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya, Thien Huynh-The, Rajeswari Chengoden, Gokul Yenduri, Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Thippa Reddy Gadekallu, Madhusanka Liyanage:
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions. - Huitong Yang, Xuyang Bai, Xinge Zhu, Yuexin Ma:
One Training for Multiple Deployments: Polar-based Adaptive BEV Perception for Autonomous Driving. - Zihao Zhao, Xiaodong Ge, Zhihong Shen:
S2CTrans: Building a bridge from SPARQL to Cypher. - Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang:
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising. - Jingwen Zhang, Junjie Shen, Yeting Liu, Dennis W. Hong:
Design of a Jumping Control Framework with Heuristic Landing for Bipedal Robots. - Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. - Matthew Cavorsi, Frederik Mallmann-Trenn, David Saldaña, Stephanie Gil:
Dynamic Crowd Vetting: Collaborative Detection of Malicious Robots in Dynamic Communication Networks. - Yong-Lu Li, Xiaoqian Wu, Xinpeng Liu, Yiming Dou, Yikun Ji, Junyi Zhang, Yixing Li, Jingru Tan, Xudong Lu, Cewu Lu:
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding. - Viet H. Pham, Thang M. Pham, Giang Thanh Nguyen, Long H. B. Nguyen, Dien Dinh:
Semi-supervised Neural Machine Translation with Consistency Regularization for Low-Resource Languages. - Dominik Baumann, Thomas B. Schön:
On the trade-off between event-based and periodic state estimation under bandwidth constraints. - Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu:
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints. - Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan:
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. - Marc Rigter:
Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning. - Juan Pablo Equihua, Maged Ali, Henrik Nordmark, Berthold Lausen:
Sequence-aware item recommendations for multiply repeated user-item interactions. - Ethan Eddy, Erik J. Scheme, Scott Bateman:
A Framework and Call to Action for the Future Development of EMG-Based Input in HCI. - Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. - Afagh Mehri Shervedani, Siyu Li, Natawut Monaikul, Bahareh Abbasi, Barbara Di Eugenio, Milos Zefran:
An End-to-End Human Simulator for Task-Oriented Multimodal Human-Robot Collaboration. - Yuren Cong, Wentong Liao, Bodo Rosenhahn, Michael Ying Yang:
Learning Similarity between Scene Graphs and Images with Transformers. - Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang, Chenghu Zhou:
PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model. - Travis C. Cuvelier, Takashi Tanaka, Robert W. Heath Jr.:
Online variable-length source coding for minimum bitrate LQG control. - Mária Lukácová-Medvidová, Bangwei She, Yuhuan Yuan:
Convergence analysis of the Monte Carlo method for random Navier-Stokes-Fourier system. - Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki, Christoforos N. Hadjicostis, Themistoklis Charalambous, Karl Henrik Johansson:
Distributed Optimization for Quadratic Cost Functions over Large-Scale Networks with Quantized Communication and Finite-Time Convergence. - Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz, Pavlo Molchanov:
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models. - Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava:
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. - Hunter Monroe:
Ruling Out Short Proofs of Unprovable Sentences is Hard. - Samuel R. Bowman:
Eight Things to Know about Large Language Models. - Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp:
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning. - Fernando Giner:
An Intrinsic Framework of Information Retrieval Evaluation Measures. - Tahmid Alavi Ishmam, Amin Ahsan Ali, Md Ahsraful Amin, A. K. M. Mahbubur Rahman:
Automatic Detection of Natural Disaster Effect on Paddy Field from Satellite Images using Deep Learning Techniques. - Ethan Weitkamp, Yusuke Satani, Adam Omundsen, Jingwen Wang, Peilong Li:
MalIoT: Scalable and Real-time Malware Traffic Detection for IoT Networks. - Felicitas Hörmann, Hannes Bartz, Anna-Lena Horlemann:
Distinguishing and Recovering Generalized Linearized Reed-Solomon Codes. - Boyang Lyu, Thuan Nguyen, Matthias Scheutz, Prakash Ishwar, Shuchin Aeron:
A principled approach to model validation in domain generalization. - Dwip Dalal, Vivek Srivastava, Mayank Singh:
MMT: A Multilingual and Multi-Topic Indian Social Media Dataset. - Rabia Bounaama, Mohammed El Amine Abderrahim:
Classifying COVID-19 Related Tweets for Fake News Detection and Sentiment Analysis with BERT-based Models. - João Correia, Gustavo Gama, João Tiago Guerrinha, Ricardo Cadime, Pedro Antero Carvalhido, Tiago Vieira, Nuno Lourenço:
Automatic Design of Telecom Networks with Genetic Algorithms. - Mohannad Alkhraijah, Rachel Harris, Carleton Coffrin, Daniel K. Molzahn:
PowerModelsADA: A Framework for Solving Optimal Power Flow using Distributed Algorithms. - Gabriel Fernandes, Nuno Lourenço, João Correia:
Reducing the Price of Stable Cable Stayed Bridges with CMA-ES. - Licio Romao, Ashish R. Hota, Alessandro Abate:
Distributionally Robust Optimal and Safe Control of Stochastic Systems via Kernel Conditional Mean Embedding. - Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott, Sunggoo Jung, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi:
Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs. - Shammur Absar Chowdhury, Ahmed Ali:
Multilingual Word Error Rate Estimation: e-WER3. - Yasaman Hosseinkashi, Jamie Pool, Lev Tankelevitch, Ross Cutler, Chinmaya Madan:
Meeting effectiveness and inclusiveness: large-scale measurement, identification of key features, and prediction in real-world remote meetings. - Sudath Rohitha Heiyanthuduwage, Md Anisur Rahman, Md Zahidul Islam:
Enhancing Cluster Quality of Numerical Datasets with Domain Ontology. - Sijie Zhuo, Robert Biddle, Lucas Betts, Nalin Asanka Gamagedara Arachchilage, Yun Sing Koh, Danielle M. Lottridge, Giovanni Russello:
What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility. - Weijie Li, Wei Yang, Li Liu, Wenpeng Zhang, Yongxiang Liu:
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR. - Youngseok Kim, Sanmin Kim, Juyeb Shin, Jun Won Choi, Dongsuk Kum:
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. - Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtered Inversion. - Zilin Huang, Sikai Chen, Yuzhuang Pian, Zihao Sheng, Soyoung Ahn, David A. Noyce:
CV2X-LOCA: Roadside Unit-Enabled Cooperative Localization Framework for Autonomous Vehicles. - Minh Nguyen, Jacob Gately, Swati Kar, Soumyabrata Dey, Saptarshi Debroy:
DNN-based Denial of Quality of Service Attack on Software-defined Hybrid Edge-Cloud Systems. - Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu:
Vision-Language Models for Vision Tasks: A Survey. - Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. - Takahiro Shindo, Taiju Watanabe, Kein Yamada, Hiroshi Watanabe:
Accuracy Improvement of Object Detection in VVC Coded Video Using YOLO-v7 Features. - Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El-Saddik, Shijian Lu, Eric P. Xing:
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. - Pedram Rabiee, Jesse B. Hoagg:
Soft-Minimum Barrier Functions for Safety-Critical Control Subject to Actuation Constraints. - Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov:
Nonlinear Negative Imaginary Systems with Switching. - Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt:
Thermal Spread Functions (TSF): Physics-guided Material Classification. - Xin Zhang, Yuqi Song, Xiaofeng Wang, Fei Zuo:
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators. - Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu:
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. - Jingkai Yang, Qiwen Ran, Hongyu Wu, Jing Ma:
Links Assignment Scheme based on Potential Edges Importance in Dual-layer Wavelength Routing Optical Satellite Networks. - Xu Tan, Jiawei Yang, Junqi Chen, Sylwan Rahardja, Susanto Rahardja:
Improving Autoencoder-based Outlier Detection with Adjustable Probabilistic Reconstruction Error and Mean-shift Outlier Scoring. - Jonathan Cook, Sabih ur Rehman, M. Arif Khan:
Security and Privacy for Low Power IoT Devices on 5G and Beyond Networks: Challenges and Future Directions. - Kyoungmin Kim, Jaehyun Ha, George Fletcher, Wook-Shin Han:
Guaranteeing the Õ(AGM/OUT) Runtime for Uniform Sampling and OUT Size Estimation over Joins. - Xin Yao, Ziqing Yang, Yiming Cui, Shijin Wang:
MiniRBT: A Two-stage Distilled Small Chinese Pre-trained Model. - Jaeyoo Park, Bohyung Han:
Multi-Modal Representation Learning with Text-Driven Soft Masks. - Nikhil Potu Surya Prakash, Joo-Hwan Seo, Alexander Rose, Roberto Horowitz:
Data-Driven Track Following Control for Dual Stage-Actuator Hard Disk Drives. - Yi Chen, Rui Wang, Haiyun Jiang, Shuming Shi, Ruifeng Xu:
Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: A Preliminary Empirical Study. - Yu Chen, Chao Shang, Xiaolin Huang, Xiang Yin:
Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests. - Zihao Chen, Xiaomeng Wang, Yuanjiang Huang, Tao Jia:
An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner. - Sandeep Manjanna, Tom Z. Jiahao, M. Ani Hsieh:
Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes. - Sayak Nag, Kyle Min, Subarna Tripathi, Amit K. Roy-Chowdhury:
Unbiased Scene Graph Generation in Videos. - Linhan Yang, Bidan Huang, Qingbiao Li, Ya-Yen Tsai, Wang Wei Lee, Chaoyang Song, Jia Pan:
TacGNN: Learning Tactile-based In-hand Manipulation with a Blind Robot. - Minjun Zhao, Yichen Yin, Yuren Mao, Lu Chen, Yunjun Gao:
SparDL: Distributed Deep Learning Training with Efficient Sparse Communication. - Thomas Lu, Albert Lu, Hiu Yung Wong:
Device Image-IV Mapping using Variational Autoencoder for Inverse Design and Forward Prediction. - Evan Hernandez, Belinda Z. Li, Jacob Andreas:
Measuring and Manipulating Knowledge Representations in Language Models. - Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam:
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. - Sandip Das, Koushik Kumar Dey, Pavan P. D, Sagnik Sen:
Counting the minimum number of arcs in an oriented graph having weak diameter 2. - Shanshan Zhang, Ying Cui, Wen Chen:
Joint Device Activity Detection, Channel Estimation and Signal Detection for Massive Grant-free Access via BiGAMP. - Wenbo Hu, Hongjian Zhan, Cong Liu, Bing Yin, Yue Lu:
OTS: A One-shot Learning Approach for Text Spotting in Historical Manuscripts. - Daicong Da, Wei Chen:
Two-scale data-driven design for heat manipulation. - Ziyin Zeng, Qingyong Hu, Zhong Xie, Jian Zhou, Yongyang Xu:
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework. - Antoine P. Leeman, Jerome Sieber, Samir Bennani, Melanie N. Zeilinger:
Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis. - Xianghua Zeng, Hao Peng, Angsheng Li:
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles. - Khalid Alnujaidi, Ghadah Alhabib, Abdulaziz Alodhieb:
Spot-the-Camel: Computer Vision for Safer Roads. - Yun-Hin Chan, Zhihan Jiang, Jing Deng, Edith C. H. Ngai:
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity. - Fang Zhao, Zekun Li, Shaoli Huang, Junwu Weng, Tianfei Zhou, Guo-Sen Xie, Jue Wang, Ying Shan:
Learning Anchor Transformations for 3D Garment Animation. - Wei Zhao, Weixian Li, Shenghao Yang, Kenneth W. Shum:
Several Classes of Optimal Cyclic Locally Repairable Codes of Unbounded Code Lengths. - Jerome White, Chandan Agrawal, Anmol Ojha, Apoorv Agnihotri, Makkunda Sharma, Jigar Doshi:
BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India. - Malte Lehna, Jan Viebahn, Christoph Scholz, Antoine Marot, Sven Tomforde:
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents. - Yue Feng, Yichen Guo, Yongjun Yuan:
Uniform error bound of an exponential wave integrator for the long-time dynamics of the nonlinear Schrödinger equation with wave operator. - Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su:
Chain-of-Thought Predictive Control. - Hyeongjun Kwon, Taeyong Song, Somi Jeong, Jin Kim, Jinhyun Jang, Kwanghoon Sohn:
Probabilistic Prompt Learning for Dense Prediction. - Iacopo Catalano, Jorge Peña Queralta, Tomi Westerlund:
Evaluating the Performance of Multi-Scan Integration for UAV LiDAR-based Tracking. - Lei Fu, Salma Salimi, Jorge Peña Queralta, Tomi Westerlund:
Event-driven Fabric Blockchain - ROS 2 Interface: Towards Secure and Auditable Teleoperation of Mobile Robots. - Youjia Zhang, Teng Xu, Junqing Yu, Yuteng Ye, Junle Wang, Yanqing Jing, Jingyi Yu, Wei Yang:
NeMF: Inverse Volume Rendering with Neural Microflake Field. - Yanda Li, Zilong Huang, Gang Yu, Ling Chen, Yunchao Wei, Jianbo Jiao:
Disentangled Pre-training for Image Matting. - Katharina Hopf, Ansgar Jüngel:
Convergence of a finite volume scheme and dissipative measure-valued-strong stability for a hyperbolic-parabolic cross-diffusion system. - (Withdrawn) Open-Vocabulary Point-Cloud Object Detection without 3D Annotation.
- Guang Yang, Mingyu Cai, Ahmad Ahmad, Calin Belta, Roberto Tron:
Efficient LQR-CBF-RRT*: Safe and Optimal Motion Planning. - Suho Lee, Seungwon Seo, Jihyo Kim, Yejin Lee, Sangheum Hwang:
Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation. - Juan Pablo Lagos, Urho Lempiö, Esa Rahtu:
FinnWoodlands Dataset. - Lei Fu, Paola Torrico Morón, Jorge Peña Queralta, David Hästbacka, Harry Edelman, Tomi Westerlund:
Is Alice Really in Wonderland? UWB-Based Proof of Location for UAVs with Hyperledger Fabric Blockchain. - Marcus Nordström, Henrik Hult, Atsuto Maki, Fredrik Löfman:
Noisy Image Segmentation With Soft-Dice. - Mathukumalli Vidyasagar:
A Tutorial Introduction to Reinforcement Learning. - Despina Ekaterini Argiropoulos, Dimitrios Papageorgiou, Michael Maravgakis, Drosakis Drosakis, Panos E. Trahanias:
Two-layer adaptive trajectory tracking controller for quadruped robots on slippery terrains. - Chi Zhang, Wenjie Ruan, Fu Wang, Peipei Xu, Geyong Min, Xiaowei Huang:
Model-Agnostic Reachability Analysis on Deep Neural Networks. - Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, Reut Tsarfaty, Ido Dagan, Vera Demberg:
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design. - Alkida Balliu, Filippo Brunelli, Pierluigi Crescenzi, Dennis Olivetti, Laurent Viennot:
A Note on the Complexity of Maximizing Temporal Reachability via Edge Temporalisation of Directed Graphs. - Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann:
Swarm Reinforcement Learning For Adaptive Mesh Refinement. - Gilles Dowek:
Explanation: from ethics to logic. - Ivan S. Maksymov:
Musical creativity enabled by nonlinear oscillations of a bubble in water. - Jia Guo, Stanley Kok, Lidong Bing:
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. - Mete Demircigil, Benoit Fabrèges:
A paradigm for well-balanced schemes for traveling waves emerging in parabolic biological models. - Yangming Zhou, Yuzhou Yang, Qichao Ying, Zhenxing Qian, Xinpeng Zhang:
Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion. - Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao:
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models. - Hao Zhu, Shaowen Xie, Zhen Liu, Fengyi Liu, Qi Zhang, You Zhou, Yi Lin, Zhan Ma, Xun Cao:
Disorder-invariant Implicit Neural Representation. - Dingyun Zhang, Chenglai Zhong, Yudong Guo, Yang Hong, Juyong Zhang:
MetaHead: An Engine to Create Realistic Digital Head. - Xiang Zhang, Boyang Wang, Yaomin Lu, Haiou Liu, Jianwei Gong, Huiyan Chen:
A Hierarchical Multi-Vehicle Coordinated Motion Planning Method based on Interactive Spatio-Temporal Corridors. - Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou:
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. - Aimin Li, Shaohua Wu, Siqi Meng, Qinyu Zhang:
Towards Goal-Oriented Semantic Communications: New Metrics, Open Challenges, and Future Research Directions. - Benxu Tang, Yunfan Ren, Fangcheng Zhu, Rui He, Siqi Liang, Fanze Kong, Fu Zhang:
Bubble Explorer: Fast UAV Exploration in Large-Scale and Cluttered 3D-Environments using Occlusion-Free Spheres. - William Tärneberg, Per Skarin, Karl-Erik Årzén, Maria Kihl:
Resilient Cloud Control System: Realizing resilient cloud-based optimal control for cyber-physical systems. - Qianhui Men, Edmond S. L. Ho, Hubert P. H. Shum, Howard Leung:
Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition. - Nikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan:
Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP. - Pablo Dorta-González, María-Isabel Dorta-González:
The funding effect on citation and social attention: the UN Sustainable Development Goals (SDGs) as a case study. - Iakovos Evdaimon, Hadi Abdine, Christos Xypolopoulos, Stamatis Outsios, Michalis Vazirgiannis, Giorgos Stamou:
GreekBART: The First Pretrained Greek Sequence-to-Sequence Model. - Jiaqi Ye, Xiaodong Li, Pangjing Wu, Feng Wang:
Action Pick-up in Dynamic Action Space Reinforcement Learning. - Pietro Totis, Angelika Kimmig, Luc De Raedt:
smProbLog: Stable Model Semantics in ProbLog for Probabilistic Argumentation. - Yuncheng Hua, Xiangyu Xi, Zheng Jiang, Guanwei Zhang, Chaobo Sun, Guanglu Wan, Wei Ye:
Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation. - Pawel Gawrychowski, Garance Gourdel, Tatiana Starikovskaya, Teresa Anna Steiner:
Compressed Indexing for Consecutive Occurrences. - Aparna Mishra, Ribhu Chopra:
MIMO Radars and Massive MIMO Communication Systems can Coexist. - Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross:
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge. - Maxime Adjigble, Brahim Tamadazte, Cristiana de Farias, Rustam Stolkin, Naresh Marturi:
Asservissement visuel 3D direct dans le domaine spectral. - Johannes Getzner, Bertrand Charpentier, Stephan Günnemann:
Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models. - Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis:
Tunable Convolutions with Parametric Multi-Loss Optimization. - Jonatha Anselmi, Josu Doncel:
Load Balancing with Job-Size Testing: Performance Improvement or Degradation? - Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Michaël Rademaker, Sofie Van Hoecke:
Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines. - Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. - Mutlu Cukurova, Xin Miao, Richard Brooker:
Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers Engagement. - Dan Saattrup Nielsen:
ScandEval: A Benchmark for Scandinavian Natural Language Processing. - Xiong-Bin Yan, Zhi-Qin John Xu, Zheng Ma:
Laplace-fPINNs: Laplace-based fractional physics-informed neural networks for solving forward and inverse problems of subdiffusion. - Sicong Pan, Hao Hu, Hui Wei, Nils Dengler, Tobias Zaenker, Maren Bennewitz:
One-Shot View Planning for Fast and Complete Unknown Object Reconstruction. - Ankit Yadav, Shubham Chandel, Sushant Chatufale, Anil Bandhakavi:
LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification. - Felix Agner, Pauline Kergus, Sophie Tarbouriech, Luca Zaccarian:
Anti-windup coordination strategy around a fair equilibrium in resource sharing networks. - Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong:
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models. - Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu:
Uncertainty Propagation in Node Classification. - Michalis Pachilakis, Savino Dambra, Iskander Sánchez-Rola, Leyla Bilge:
Quantifying Carbon Emissions due to Online Third-Party Tracking. - Giovanni Grieco, Giovanni Iacovelli, Daniele Pugliese, Domenico Striccoli, Luigi Alfredo Grieco:
A System-Level Simulation Module for Multi-UAV IRS-assisted Communications. - Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Online Lane Graph Extraction from Onboard Video. - Sergio Abriola, Santiago Cifuentes, Nina Pardal, Edwin Pin Baque:
Data-graph repairs: the preferred approach. - Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay:
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. - Timm Hess, Eli Verwimp, Gido M. van de Ven, Tinne Tuytelaars:
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting. - Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert:
Learning Sparsity of Representations with Discrete Latent Variables. - Nikita Samarin, Shayna Kothari, Zaina Siyed, Oscar Bjorkman, Reena Yuan, Primal Wijesekera, Noura Alomar, Jordan Fischer, Chris Jay Hoofnagle, Serge Egelman:
Lessons in VCR Repair: Compliance of Android App Developers with the California Consumer Privacy Act (CCPA). - Xiang Wang, Shiwei Zhang, Zhiwu Qing, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang:
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition. - Aleksandr Safin, Daniel Duckworth, Mehdi S. M. Sajjadi:
RePAST: Relative Pose Attention Scene Representation Transformer. - Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Dacheng Tao, Xuelong Li:
VTAE: Variational Transformer Autoencoder with Manifolds Learning. - Jérôme Rutinowski, Hazem Youssef, Sven Franke, Irfan Fachrudin Priyanta, Frederik Polachowski, Moritz Roidl, Christopher Reining:
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities - A Framework and Dataset Creation Approach. - Daniel John Mannion, Anthony Joseph Kenyon:
Artificial Dendritic Computation: The case for dendrites in neuromorphic circuits. - Lorenzo Vorabbi, Davide Maltoni, Stefano Santi:
Optimizing data-flow in Binary Neural Networks. - Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos, Verena Kantere, Francky Catthoor, Dimitrios Soudris:
Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures. - Aryan, Bowen Li, Sebastian A. Scherer, Yun-Jou Lin, Chen Wang:
AirLoc: Object-based Indoor Relocalization. - Anirban Chakraborty, Sarani Bhattacharya, Sayandeep Saha, Debdeep Mukhopadhyay:
A short note on the paper 'Are Randomized Caches Really Random?'. - Guang-Yong Chen, Yong-Hang Yu, Min Gan, C. L. Philip Chen, Wenzhong Guo:
Properties and Potential Applications of Random Functional-Linked Types of Neural Networks. - Yanis Labrak, Adrien Bazoge, Richard Dufour, Mickael Rouvier, Emmanuel Morin, Béatrice Daille, Pierre-Antoine Gourraud:
DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains. - Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza:
Autonomous Power Line Inspection with Drones via Perception-Aware MPC. - Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano:
Self-Ordering Point Clouds. - Jihan Yang, Runyu Ding, Zhe Wang, Xiaojuan Qi:
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding. - Tsuyoshi Baba, Kosuke Nishida, Kyosuke Nishida:
Robust Text-driven Image Editing Method that Adaptively Explores Directions in Latent Spaces of StyleGAN and CLIP. - Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu:
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. - Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd, Thao Ngo, Shoeb Ahmed Joarder, Qurat Ul Ain, Arham Muslim:
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System. - Hanrong Ye, Dan Xu:
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation. - Yukang Cui, Xinru Yang, Tingwen Huang, Xin Gong:
Optimal Resource Allocation between Two Nonfully Cooperative Wireless Networks under Malicious Attacks: A Gestalt Game Perspective. - Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana:
Mapped Variably Scaled Kernels: Applications to Solar Imaging. - Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock, Kale-ab Abebe Tessera, Arnu Pretorius:
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. - Xinwei Liu, Kiran B. Raja, Renfang Wang, Hong Qiu, Hucheng Wu, Dechao Sun, Qiguang Zheng, Nian Liu, Xiaoxia Wang, Gehang Huang, Raghavendra Ramachandra, Christoph Busch:
A Latent Fingerprint in the Wild Database. - Alexander Sulaiman, Ken Pierce:
Modelling Maritime SAR Effective Sweep Widths for Helicopters in VDM. - Andrea Poltronieri, Aldo Gangemi:
The Music Note Ontology. - Jacopo de Berardinis, Albert Meroño-Peñuela, Andrea Poltronieri, Valentina Presutti:
The Music Annotation Pattern. - Yaojie Hu, Jin Tian:
Neural Interpretation of Generic Source Code. - Manuel Zahn, Douglas P. Perrin:
Efficient human-in-loop deep learning model training with iterative refinement and statistical result validation. - Marc Jayson Baucas, Petros Spachos:
Federated Kalman Filter for Secure IoT-based Device Monitoring Services. - Bartosz Piotrowski, Ramon Fernández Mir, Edward W. Ayers:
Machine-Learned Premise Selection for Lean. - Angelica Ginnante, Stéphane Caro, Enrico Simetti, François Leborne:
Kinetostatic Optimization for Kinematic Redundancy Planning of Nimbl'Bot Robot. - Danil Provodin, Jérémie Joudioux, Eduard Duryev:
Learning Optimal Bidding Strategy: Case Study in E-Commerce Advertising. - Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin:
Learning robotic milling strategies based on passive variable operational space interaction control. - Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao Kenneth Huang, Dongwon Lee:
Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts. - Stefano Campese, Ivano Lauriola, Alessandro Moschitti:
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval. - Karim Gamal, Ahmed Gaber, Hossam Amer:
Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios. - Justin Diamond, Ben Garcia:
Egyptian Ratscrew: Discovering Dominant Strategies with Computational Game Theory. - Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales:
Self-Supervised Multimodal Learning: A Survey. - James Timothy Meech:
Is This Computing Accelerator Evaluation Full of Hot Air? - Angelo Maurizio Brambilla, Davide del Giudice, Daniele Linaro, Federico Bizzarri:
Global Momentum Estimation of an Electric Power System. - Wenxuan Pan, Feifei Zhao, Yi Zeng, Bing Han:
Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks. - Daniel Campos, Alessandro Magnani, ChengXiang Zhai:
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders. - Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang:
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. - Carlos Areces, Raul Fervari, Andrés R. Saravia, Fernando R. Velázquez-Quesada:
Uncertainty-Based Knowing How Logic. - Samuel Ducros:
Self-Supervised learning for Neural Architecture Search (NAS). - Michael Dyck, Alistair Weld, Julian Klodmann, Alexander Kirst, Giulio Anichini, Luke Dixon, Sophie Camp, Stamatia Giannarou, Alin Albu-Schäffer:
Automated robotic intraoperative ultrasound for brain surgery. - Simone Angarano, Mauro Martini, Alessandro Navone, Marcello Chiaberge:
Domain Generalization for Crop Segmentation with Knowledge Distillation. - Jia Wang, Yi Niu, Tianyi Xu, Mingming Ma, Dahua Gao, Guangming Shi:
AMGC: Adaptive match-based genomic compression algorithm. - Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Dimitra Panagou:
Safety Under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions. - Haichao Liu, Kai Chen, Yulin Li, Zhenmin Huang, Jianghua Duan, Jun Ma:
Integrated Decision-Making and Control for Urban Autonomous Driving with Traffic Rules Compliance. - Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, Ioannis Patras:
DivClust: Controlling Diversity in Deep Clustering. - Dzenan Lapandic, Christos K. Verginis, Dimos V. Dimarogonas, Bo Wahlberg:
Prediction-Based Leader-Follower Rendezvous Model Predictive Control with Robustness to Communication Losses. - Jeffrey Lu, Ivan Rodriguez:
Polytuplet Loss: A Reverse Approach to Training Reading Comprehension and Logical Reasoning Models. - Andreas Deutschmann-Olek, Katharina Schrom, Nikolaus Würkner, Jörg Schmiedmayer, Sebastian Erne, Andreas Kugi:
Optimal control of quasi-1D Bose gases in optical box potentials. - Prashin Sharma, Benjamin Kraske, Joseph Kim, Zakariya Laouar, Zachary Sunberg, Ella M. Atkins:
Investigation of risk-aware MDP and POMDP contingency management autonomy for UAS. - Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna:
ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis. - Zhuoling Li, Chuanrui Zhang, Wei-Chiu Ma, Yipin Zhou, Linyan Huang, Haoqian Wang, Ser-Nam Lim, Hengshuang Zhao:
VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection. - Gonzalo Ferrer, Dmitrii Iarosh, Anastasiia Kornilova:
Eigen-Factors an Alternating Optimization for Back-end Plane SLAM of 3D Point Clouds. - Abel Goedegebuure, Indika Kumara, Stefan Driessen, Dario Di Nucci, Geert Monsieur, Willem-Jan van den Heuvel, Damian Andrew Tamburri:
Data Mesh: a Systematic Gray Literature Review. - Yunwei Ren, Mo Zhou, Rong Ge:
Depth Separation with Multilayer Mean-Field Networks. - Chenyang Qi, Xin Yang, Ka Leong Cheng, Ying-Cong Chen, Qifeng Chen:
HyperThumbnail: Real-time 6K Image Rescaling with Rate-distortion Optimization. - Jamie Hathaway, Abdelaziz Shaarawy, Cansu Akdeniz, Ali Aflakian, Rustam Stolkin, Alireza Rastegarpanah:
Towards Reuse and Recycling of Lithium-ion Batteries: Tele-robotics for Disassembly of Electric Vehicle Batteries. - Gabriel R. Barrenechea, Emmanuil H. Georgoulis, Tristan Pryer, Andreas Veeser:
A Nodally Bound-Preserving Finite Element Method. - Watson Jia, Mona Wang, Liang Wang, Prateek Mittal:
QUICstep: Circumventing QUIC-based Censorship. - Sudarshan S. Harithas, Gurkirat Singh, Aneesh Chavan, Sarthak Sharma, Suraj Patni, Chetan Arora, K. Madhava Krishna:
FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation. - Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann:
Conformal Prediction Regions for Time Series using Linear Complementarity Programming. - Antonio Rios-Navarro, Enrique Piñero-Fuentes, Salvador Canas-Moreno, Aqib Javed, Jim Harkin, Alejandro Linares-Barranco:
LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading. - Cheng Deng, Fan Xu, Jiaxing Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang:
FMGNN: Fused Manifold Graph Neural Network. - Wen Shen, Lei Cheng, Yuxiao Yang, Mingjie Li, Quanshi Zhang:
Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts? - Rui Xu, Yong Luo, Bo Du:
Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data. - Andrea Ferigo, Giovanni Iacca:
Self-building Neural Networks. - Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu:
RPTQ: Reorder-based Post-training Quantization for Large Language Models. - Yongqiang Mao, Xian Sun, Xingliang Huang, Kaiqiang Chen:
LIGHT: Joint Individual Building Extraction and Height Estimation from Satellite Images through a Unified Multitask Learning Network. - Shizhen Chang, Pedram Ghamisi:
Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. - Abhishek Paudel, Gregory J. Stein:
Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction. - Maximilien Le Clei:
Evolving Artificial Neural Networks To Imitate Human Behaviour In Shinobi III : Return of the Ninja Master. - Honglin Xiong, Sheng Wang, Yitao Zhu, Zihao Zhao, Yuxiao Liu, Linlin Huang, Qian Wang, Dinggang Shen:
DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task. - Shizhen Chang, Michael Kopp, Pedram Ghamisi:
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. - Julian Aron Prenner, Romain Robbes:
RunBugRun - An Executable Dataset for Automated Program Repair. - Mingxiao Li, Rui Jin, Liyao Xiang, Kaiming Shen, Shuguang Cui:
Crossword: A Semantic Approach to Data Compression via Masking. - Fabian Stiehle, Ingo Weber:
Process Channels: A New Layer for Process Enactment Based on Blockchain State Channels. - Jordan W. Suchow, Necdet Gürkan:
Coincidental Generation. - Albertus Johannes Malan, Lukas Rausche, Felix Strehle, Sören Hohmann:
Port-Hamiltonian Modelling for Analysis and Control of Gas Networks. - Giacomo Zara, Subhankar Roy, Paolo Rota, Elisa Ricci:
AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation. - Yabo Zhang, Zihao Wang, Jun Hao Liew, Jingjia Huang, Manyu Zhu, Jiashi Feng, Wangmeng Zuo:
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation. - Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu:
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model. - Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, Maimuna S. Majumder, Miles D. Cranmer, Guilherme Espada, Leon Ingelse, Alcides Fonseca, Mikel Landajuela, Brenden K. Petersen, Ruben Glatt, T. Nathan Mundhenk, C. S. Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, H. Zhang, Grant Dick, A. Simon, Bogdan Burlacu, Jaan Kasak, Meera Vieira Machado, Casper Wilstrup, William G. La Cava:
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition. - Sergio Lucarini, Fionn P. E. Dunne, Emilio Martínez-Pañeda:
An FFT-based crystal plasticity phase-field model for micromechanical fatigue cracking based on the stored energy density. - Ahrar N. Hamad, Ahmad Adnan Qidan, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Resource Allocation in IRS-aided Optical Wireless Communication Systems. - Hendrik Fischer, Julian Roth, Thomas Wick, Ludovic Chamoin, Amelie Fau:
MORe DWR: Space-time goal-oriented error control for incremental POD-based ROM. - Baptiste Prébot, Yinuo Du, Cleotilde Gonzalez:
Learning About Simulated Adversaries from Human Defenders using Interactive Cyber-Defense Games. - Toby Perrett, Saptarshi Sinha, Tilo Burghardt, Majid Mirmehdi, Dima Damen:
Use Your Head: Improving Long-Tail Video Recognition. - Hauke Sandhaus:
Promoting Bright Patterns. - Yandong Ji, Gabriel B. Margolis, Pulkit Agrawal:
DribbleBot: Dynamic Legged Manipulation in the Wild. - Yunian Pan, Tao Li, Quanyan Zhu:
Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study. - Swapnil Mane, Vaibhav Khatavkar, Niranjan Gijare, Pranav Bhendawade:
Effective Feature Extraction for Intrusion Detection System using Non-negative Matrix Factorization and Univariate analysis. - Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo:
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving. - Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-Tao Zheng:
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation. - Kerem Ciftci, Klaus Hackl:
Model-free data-driven inelasticity in Haigh-Westergaard space - a study how to obtain data points from measurements. - Qinglin Liu, Shengping Zhang, Quanling Meng, Ru Li, Bineng Zhong, Liqiang Nie:
Rethinking Context Aggregation in Natural Image Matting. - Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Generative Multiplane Neural Radiance for 3D-Aware Image Generation. - Nadav Schneider, Shimon Shouei, Saleem Ghantous, Elad Feldman:
Hate Speech Targets Detection in Parler using BERT. - Carolina Higuera, Byron Boots, Mustafa Mukadam:
Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models. - Lianghui Zhu, Yingyue Li, Jiemin Fang, Yan Liu, Hao Xin, Wenyu Liu, Xinggang Wang:
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation. - Yue Ma, Yingqing He, Xiaodong Cun, Xintao Wang, Ying Shan, Xiu Li, Qifeng Chen:
Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos. - Sumanta Ghosh, Prahladh Harsha, Simão Herdade, Mrinal Kumar, Ramprasad Saptharishi:
Fast Numerical Multivariate Multipoint Evaluation. - Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot:
Navigating to Objects Specified by Images. - Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burstormer: Burst Image Restoration and Enhancement Transformer. - Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao:
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. - Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. - Shengze Wang, Ziheng Wang, Ryan Schmelzle, Liujie Zheng, Youngjoong Kwon, Soumyadip Sengupta, Henry Fuchs:
Bringing Telepresence to Every Desk. - Cong Han, Yujie Zhong, Dengjie Li, Kai Han, Lin Ma:
Zero-Shot Semantic Segmentation with Decoupled One-Pass Network. - Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik:
On the Benefits of 3D Pose and Tracking for Human Action Recognition. - Omkar Thawakar, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Video Instance Segmentation in an Open-World. - Ruihan Yang, Ge Yang, Xiaolong Wang:
Neural Volumetric Memory for Visual Locomotion Control. - Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang:
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. - Jakub J. Dylag, Victor Suarez, James Wald, Aneesha Amodini Uvara:
Automatic Geo-alignment of Artwork in Children's Story Books. - Bowen Zhao, Wei-Neng Chen, Xiaoguo Li, Ximeng Liu, Qingqi Pei, Jun Zhang:
When Evolutionary Computation Meets Privacy. - Pierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond, Laurent-Walter Goix:
PromptORE - A Novel Approach Towards Fully Unsupervised Relation Extraction. - Ting-Hui Wang, Li-Hsiang Shen, Kai-Ten Feng:
Distributed Multi-Agent Deep Q-Learning for Fast Roaming in IEEE 802.11ax Wi-Fi Systems. - Peng Geng, Huizhen Hao, Annan Yang, Yan Liu:
Robustness of Complex Networks Considering Load and Cascading Failure under Edge-removal Attack. - Krish Desai:
Parkinsons Disease Detection via Resting-State Electroencephalography Using Signal Processing and Machine Learning Techniques. - Alessio Brini, Elisa Giovannini, Elia Smaniotto:
A Machine Learning Approach to Forecasting Honey Production with Tree-Based Methods. - Yixuan Wang, Weichao Zhou, Jiameng Fan, Zhilu Wang, Jiajun Li, Xin Chen, Chao Huang, Wenchao Li, Qi Zhu:
POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems. - Chayan Maitra, Dibyendu Bikash Seal, Rajat K. De:
NeuroDAVIS: A neural network model for data visualization. - Jiankai Gao, Yang Li, Bin Wang, Haibo Wu:
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm. - Mohamed Karim Belaid, Dorra El Mekki, Maximilian Rabus, Eyke Hüllermeier:
Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2) for KNN models. - Aqsa Ashraf Makhdomi, Iqra Altaf Gillani:
A greedy approach for increased vehicle utilization in ridesharing networks. - Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang:
Abnormal Event Detection via Hypergraph Contrastive Learning. - Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger:
Resolution-Invariant Image Classification based on Fourier Neural Operators. - Hung Quoc To, Nghi D. Q. Bui, Jin Guo, Tien N. Nguyen:
Better Language Models of Code through Self-Improvement. - Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda:
SEENN: Towards Temporal Spiking Early-Exit Neural Networks. - Zhibin Zhou, Junnan Yu:
Adapt a Generic Human-Centered AI Design Framework in Children's Context. - Sabri Boughorbel, Fethi Jarray, Abdulaziz Al-Homaid, Rashid Niaz, Khalid Alyafei:
Multi-Modal Perceiver Language Model for Outcome Prediction in Emergency Department. - Pirmin Lemberger, Antoine Saillenfest:
Fair Evaluation of Graph Markov Neural Networks. - Audrey Poinsot, Alessandro Ferreira Leite:
A Guide for Practical Use of ADMG Causal Data Augmentation. - Maxime Labonne, Sean Moran:
Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection. - Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck:
Online Distillation with Continual Learning for Cyclic Domain Shifts. - Jaya Chaturvedi, Sumithra Velupillai, Robert Stewart, Angus Roberts:
Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach. - Deepawali Sharma, Vedika Gupta, Vivek Kumar Singh:
Detection of Homophobia & Transphobia in Dravidian Languages: Exploring Deep Learning Methods. - Maolin Luo, Xiang Zhang:
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs. - Li Li, Jean-Pierre S. El Rami, Adrian Taylor, James Hailing Rao, Thomas Kunz:
Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents. - Yi Qi, Xingyu Zhao, Xiaowei Huang:
Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT. - Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai:
Generative Diffusion Prior for Unified Image Restoration and Enhancement. - Shaull Almagor, Omer Yizhaq:
Jumping Automata over Infinite Words. - Yan Jin, Mengke Li, Yang Lu, Yiu-ming Cheung, Hanzi Wang:
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation. - Alireza Salemi, Amirhossein Abaskohi, Sara Tavakoli, Yadollah Yaghoobzadeh, Azadeh Shakery:
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation. - Steffen Lewitzka, Vinícius Pinto:
Belief, knowledge and evidence. - Martin Avanzini, Georg Moser, Michael Schaper:
Automated Expected Value Analysis of Recursive Programs. - Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves:
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. - Chongyang Shi, Abhishek Ninad Kulkarni, Hazhar Rahmani, Jie Fu:
Synthesis of Opacity-Enforcing Winning Strategies Against Colluded Opponent. - Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu:
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. - Jen-Wei Wang, Lingfeng Sun, Xinghao Zhu, Qiyang Qian, Masayoshi Tomizuka:
A Simple Approach for General Task-Oriented Picking using Placing constraints. - Emma R. Toner, Mark Rucker, Zhiyuan Wang, Maria A. Larrazabal, Lihua Cai, Debajyoti Datta, Elizabeth Thompson, Haroon Lone, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes:
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts. - Yifan Chen, Houman Owhadi, Florian Schäfer:
Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes. - Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou:
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. - Jacob Piland, Christopher Sweet, Priscila Saboia, Charles Vardeman II, Adam Czajka:
Non-Generative Energy Based Models. - Gourav Prateek Sharma, Dhruvin Patel, Joachim Sachs, Marilet De Andrade, János Farkas, János Harmatos, Balázs Varga, Hans-Peter Bernhard, Raheeb Muzaffar, Mahin K. Atiq, Frank Dürr, Dietmar Bruckner, Edgardo Montes de Oca, Drissa Houatra, Hongwei Zhang, James Gross:
Towards Deterministic Communications in 6G Networks: State of the Art, Open Challenges and the Way Forward. - Mohit Kumar, Bernhard Alois Moser, Lukas Fischer:
Kernel Affine Hull Machines for Differentially Private Learning. - Holden Lee, Zeyu Shen:
Improved Bound for Mixing Time of Parallel Tempering. - Zaid Abdullah, Steven Kisseleff, Eva Lagunas, Vu Nguyen Ha, Frank Zeppenfeldt, Symeon Chatzinotas:
Integrated Access and Backhaul via Satellites. - Jun Jet Tai, Jim Wong, Mauro Sebastián Innocente, Nadjim Horri, James Brusey, Swee King Phang:
PyFlyt - UAV Simulation Environments for Reinforcement Learning Research. - Harry X. Li, Gabriel Appleby, Camelia Daniela Brumar, Remco Chang, Ashley Suh:
Characterizing the Users, Challenges, and Visualization Needs of Knowledge Graphs in Practice. - Andrew Patterson, Samuel Neumann, Martha White, Adam White:
Empirical Design in Reinforcement Learning. - Daniella Bar-Lev, Adir Kobovich, Orian Leitersdorf, Eitan Yaakobi:
Universal Framework for Parametric Constrained Coding. - Sina Ahmadi, Zahra Azin, Sara Belelli, Antonios Anastasopoulos:
Approaches to Corpus Creation for Low-Resource Language Technology: the Case of Southern Kurdish and Laki. - Sina Ahmadi, Milind Agarwal, Antonios Anastasopoulos:
PALI: A Language Identification Benchmark for Perso-Arabic Scripts. - Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Cise Midoglu, Michael Riegler, Pål Halvorsen, Minh-Son Dao:
Grand Challenge On Detecting Cheapfakes. - Nicholas Gahman, Vinayak Elangovan:
A Comparison of Document Similarity Algorithms. - Andrew Halterman, Philip A. Schrodt, Andreas Beger, Benjamin E. Bagozzi, Grace I. Scarborough:
Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks. - Da Wu, Jingye Yang, Mian Umair Ahsan, Kai Wang:
On the Prime Number Divisibility by Deep Learning. - Ramzi Abou Chahine, Steven A. Vasquez, Pooyan Fazli, Hasti Seifi:
Clustering Social Touch Gestures for Human-Robot Interaction. - John M. Li, Amal Ahmed, Steven Holtzen:
Lilac: a Modal Separation Logic for Conditional Probability. - Yang Liu, Luiz Gustavo Hafemann:
A Scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos. - Xuguang Ai, Ramakanth Kavuluru:
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies. - Aniket Pramanik, Mathews Jacob:
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL). - Karen Avetisyan, Arthur Malajyan, Tsolak Ghukasyan, Arutyun Avetisyan:
A Simple and Effective Method of Cross-Lingual Plagiarism Detection. - Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Functional Knowledge Transfer with Self-supervised Representation Learning. - Alaina N. Talboy, Elizabeth Fuller:
Challenging the appearance of machine intelligence: Cognitive bias in LLMs. - Yun-Han Li, Ryan Gabrys, Jin Sima, Ilan Shomorony, Olgica Milenkovic:
Finding a Burst of Positives via Nonadaptive Semiquantitative Group Testing. - Li Li, Jean-Pierre S. El Rami, Adrian Taylor, James Hailing Rao, Thomas Kunz:
Enabling A Network AI Gym for Autonomous Cyber Agents. - Krzysztof Byrski, Przemyslaw Spurek, Jacek Tabor:
Gaussian model for closed curves. - Valerio La Gatta, Luca Luceri, Francesco Fabbri, Emilio Ferrara:
The Interconnected Nature of Online Harm and Moderation: Investigating the Cross-Platform Spread of Harmful Content between YouTube and Twitter. - Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar van der Wal:
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. - Renato Ferreira Pinto Jr., Nathaniel Harms:
Distribution Testing Under the Parity Trace. - Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke:
Faulty Branch Identification in Passive Optical Networks using Machine Learning. - Pedro Castro, Tae-Kyun Kim:
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching. - Anthony Goeckner, Xinliang Li, Ermin Wei, Qi Zhu:
Attrition-Aware Adaptation for Multi-Agent Patrolling. - Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang:
Counterfactual Learning on Graphs: A Survey. - Erik D. Demaine, Martin L. Demaine:
Every Author as First Author. - Patil Shubham Suresh, Gautham Narayan Narasimhan:
Lidar based 3D Tracking and State Estimation of Dynamic Objects. - Rongqi Pan, Taher Ahmed Ghaleb, Lionel C. Briand:
LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models. - Md Abdul Kadir, Fabrizio Nunnari, Daniel Sonntag:
Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust. - Mohit Garg, Mélanie Bouroche:
Can listening to more neighbours help CAVs be faster and safer? - Zeyu Guo, Zihan Zhang:
Randomly Punctured Reed-Solomon Codes Achieve the List Decoding Capacity over Polynomial-Size Alphabets. - Shota Hozumi, Kentaro Kutsukake, Kota Matsui, Shunya Kusakawa, Toru Ujihara, Ichiro Takeuchi:
Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation. - Vrushank Phadnis, Kristin Moore, Mar González-Franco:
Avatars in Work Meetings: Correlation Between Photorealism and Appeal. - Mantas Mikaitis:
Monotonicity of Multi-Term Floating-Point Adders. - Ling Zhang, Daniel Tabas, Baosen Zhang:
An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees. - Xing Han Lù, Siva Reddy, Harm de Vries:
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents. - Hadley Black, Deeparnab Chakrabarty, C. Seshadhri:
A d1/2+o(1) Monotonicity Tester for Boolean Functions on d-Dimensional Hypergrids. - Kaveh Safavigerdini, Aria Alasty, Mohammad Reza Movahhedy:
Design and Implementation of a Controller for Hexaglide CNC Machine. - Meredith Ringel Morris:
Scientists' Perspectives on the Potential for Generative AI in their Fields. - Vaibhav Khatavkar, Swapnil Mane, Parag Kulkarni:
Thematic context vector association based on event uncertainty for Twitter. - Swapnil Mane, Vaibhav Khatavkar:
Polarity based Sarcasm Detection using Semigraph. - Ahmed M. Alaa, Zeshan M. Hussain, David A. Sontag:
Conformalized Unconditional Quantile Regression. - Ingrid Navarro, Jay Patrikar, Joao P. A. Dantas, Rohan Baijal, Ian Higgins, Sebastian A. Scherer, Jean Oh:
Learned Tree Search for Long-Horizon Social Robot Navigation in Shared Airspace. - Dong Lao, Zhengyang Hu, Francesco Locatello, Yanchao Yang, Stefano Soatto:
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots. - Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson:
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. - Jaeill Kim, Suhyun Kang, Duhun Hwang, Jungwook Shin, Wonjong Rhee:
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution. - Xianzhong Ding, Wan Du:
Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field. - Ziqian Bai, Feitong Tan, Zeng Huang, Kripasindhu Sarkar, Danhang Tang, Di Qiu, Abhimitra Meka, Ruofei Du, Mingsong Dou, Sergio Orts-Escolano, Rohit Pandey, Ping Tan, Thabo Beeler, Sean Fanello, Yinda Zhang:
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos. - Ofer Grossman, Meghal Gupta, Mark Sellke:
Tight Space Lower Bound for Pseudo-Deterministic Approximate Counting. - Shubham Pande, Bhaswar Chakrabarti, Anjan Chakravorty:
Thermal Crosstalk Analysis in RRAM Passive Crossbar Arrays. - Sepideh Bahadoripour, M. Ethan MacDonald, Hadis Karimipour:
A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems. - Joseph Chang:
Virtual Avatar Stream: a cost-down approach to the Metaverse experience. - Marcos M. Vasconcelos, Behrouz Touri:
On the coordination efficiency of strategic multi-agent robotic teams. - Navya Martin Kollapally, Vipina Kuttichi Keloth, Julia Xu, James Geller:
Integrating Commercial and Social Determinants of Health: A Unified Ontology for Non-Clinical Determinants of Health. - Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman:
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning. - Pablo Andretta Jaskowiak, Ivan Gesteira Costa:
Clustering Validation with The Area Under Precision-Recall Curves. - Kiril Bangachev, S. Matthew Weinberg:
q-Partitioning Valuations: Exploring the Space Between Subadditive and Fractionally Subadditive Valuations. - Junzhu Mao, Yazhou Yao, Zeren Sun, Xingguo Huang, Fumin Shen, Heng Tao Shen:
Attention Map Guided Transformer Pruning for Edge Device. - Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. - Zhengqing Miao, Meirong Zhao:
Time-space-frequency feature Fusion for 3-channel motor imagery classification. - Mohsen Moradi:
Minimum Distance of PAC Codes v. Polar Codes Using Cyclic Shift Matrices. - Chuandong Liu, Chenqiang Gao, Fangcen Liu, Pengcheng Li, Deyu Meng, Xinbo Gao:
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection. - Qinlong Wang, Bo Sang, Haitao Zhang, Mingjie Tang, Ke Zhang:
DLRover: An Elastic Deep Training Extension with Auto Job Resource Recommendation. - Xinru Zhang, Ni Ou, Chenghao Liu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye:
Unsupervised Brain Tumor Segmentation with Image-based Prompts. - Yoshinari Takayama, Kazumune Hashimoto, Toshiyuki Ohtsuka:
Signal Temporal Logic Meets Convex-Concave Programming: A Structure-Exploiting SQP Algorithm for STL Specifications. - Noah Stier, Anurag Ranjan, Alex Colburn, Yajie Yan, Liang Yang, Fangchang Ma, Baptiste Angles:
FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction. - Dimitri Coelho Mollo, Raphaël Millière:
The Vector Grounding Problem. - Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. - Gaochen Dong, Wei Chen:
Blockwise Compression of Transformer-based Models without Retraining. - Xinyi Ying, Li Liu, Yingqian Wang, Ruojing Li, Nuo Chen, Zaiping Lin, Weidong Sheng, Shilin Zhou:
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision. - Alessandro Pegoraro, Kavita Kumari, Hossein Fereidooni, Ahmad-Reza Sadeghi:
To ChatGPT, or not to ChatGPT: That is the question! - Xiaojie Zhang, Mingjun Li, Andrew Hilton, Amitangshu Pal, Soumyabrata Dey, Saptarshi Debroy:
End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response. - Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian:
Improved Visual Fine-tuning with Natural Language Supervision. - Md Asif Bin Syed, Imtiaz Ahmed:
Multi model LSTM architecture for Track Association based on Automatic Identification System Data. - Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng:
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection. - Wencong Wu, Guannan Lv, Yingying Duan, Peng Liang, Yungang Zhang, Yuelong Xia:
DCANet: Dual Convolutional Neural Network with Attention for Image Blind Denoising. - Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding:
Physics-aware Roughness Optimization for Diffractive Optical Neural Networks. - Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, Cen Chen:
SLPerf: a Unified Framework for Benchmarking Split Learning. - Jonathan D. Freedman, Ian A. Nappier:
GPT-4 to GPT-3.5: 'Hold My Scalpel' - A Look at the Competency of OpenAI's GPT on the Plastic Surgery In-Service Training Exam. - Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li:
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting. - Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai:
RARE: Robust Masked Graph Autoencoder. - Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatrainst, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge:
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. - Xu Chen, Zhiyong Feng, Zhiqing Wei, Feifei Gao, Xin Yuan:
Sensing Performance of Cooperative Joint Sensing-Communication UAV Network. - Syed Eqbal Alam, Dhirendra Shukla, Shrisha Rao:
Local Differential Privacy in Federated Optimization. - Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir:
Handling Concept Drift in Global Time Series Forecasting. - Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann:
Robust Outlier Rejection for 3D Registration with Variational Bayes. - Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. - Xu Chen, Zhiyong Feng, Zhiqing Wei, Ping Zhang, Xin Yuan:
Code-Division OFDM Joint Communication and Sensing System for 6G Machine-type Communication. - Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du:
Multimodal Neural Processes for Uncertainty Estimation. - Haitao Yang, Zaiwei Zhang, Xiangru Huang, Min Bai, Chen Song, Bo Sun, Li Erran Li, Qixing Huang:
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation. - Bishal Lakha, Kalyan Bhetwal, Nasir U. Eisty:
Analysis of Software Engineering Practices in General Software and Machine Learning Startups.